Armis vs Ordr (2026)
A horizontal platform against the most ML native enforcement engine in the lane. Armis wins on breadth and deployment: IT, OT, IoT, IoMT, cloud, and code across many industries, the only on premise option, and consecutive Gartner Magic Quadrant Leader placement, with a pending ServiceNow acquisition that could deepen enterprise integration. Ordr wins on the machine learning itself: behavioural fingerprinting trained on a stated 100 million plus devices generates segmentation policy from learned behaviour, earning an A on AI centrality where Armis sits at B, and its autonomy design is the best in the category, simulating enforcement impact and showing the blast radius before any rule changes with a human approval gate. That last point is not a nicety, because automatically isolating a misidentified infusion pump is a patient safety event. If your failure mode is coverage across all asset classes and industries, start with Armis. If your failure mode is segmentation that stalls because teams do not trust their asset data enough to enforce, start with Ordr.
- The widest coverage and the only deployment choice: IT, OT, IoT, IoMT, cloud, and code across many industries with on premise, cloud, and hybrid options, graded A on both setting and deployment, where Ordr is cloud based.
- The strongest analyst position: named a Leader in the 2026 Gartner Magic Quadrant for CPS Protection Platforms for the second consecutive year among 13 vendors evaluated.
- Breadth of enterprise integration: a single contextualised view across IT, OT, IoT, IoMT, cloud, and code, graded A on interoperability, with a pending ServiceNow acquisition that would deepen enterprise workflow integration if realised.
- The strongest AI centrality case in the lane: behavioural fingerprinting trained on a stated 100 million plus real world devices generates segmentation policy from learned behaviour rather than templates, graded A against Armis at B, where the models do the primary work rather than sitting on a lookup.
- The best autonomy design in the category, directly responsive to its defining risk: policies are simulated and the blast radius shown before any enforcement, with a human approval gate, graded A where Armis grades B, because automatically isolating a misidentified infusion pump is a patient safety event not an outage.
- Falsifiable deployment: initial discovery within 48 to 72 hours and segmentation enforcement in weeks rather than the multi year projects this work usually becomes.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Armis and Ordr are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards Armis its top capability grade on several axes, including Security Certifications and Trust Center, EHR and Interoperability Depth and Deployment Model and Data Residency. Set against Ordr, Armis grades higher on Model Supply Chain Disclosure and Security Certifications and Trust Center. Its thinnest published disclosure sits on AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, July 2026
The AI Health Index awards Ordr its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and EHR and Interoperability Depth. Set against Armis, Ordr grades higher on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Its thinnest published disclosure sits on AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, July 2026
Questions buyers ask
Should we choose Armis or Ordr?
On the axes where the AI Health Index separates them, Armis grades higher on Model Supply Chain Disclosure and Security Certifications and Trust Center, and Ordr grades higher on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Ordr leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do Armis and Ordr differ most?
The widest separation the AI Health Index records between Armis and Ordr is on Model Supply Chain Disclosure, where Armis grades B and Ordr grades C. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Armis and Ordr grade the same?
The AI Health Index grades Armis and Ordr the same on several axes, including Clinical and Operational Evidence, AI Safety and PHI Stewardship and FDA and Regulatory Status. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Armis and Ordr not disclosed?
At the last review, at least one of Armis and Ordr published thin or absent detail on AI Liability and Recourse. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Healthcare Administrative Automation page.
Armis grades B on AI centrality as one of five products on a horizontal platform and C on model transparency for platform level language, where Ordr grades A on AI centrality and B on model transparency for naming its training scale and method. Ordr's autonomy grade of A rests on documented enforcement simulation and a human gate, the design this index credits most in a lane where enforcement error is a clinical safety event.
A source caution on Ordr: it publishes its own comparative rankings of competing platforms, so favourable comparative material from the vendor is self interested and this index relies on it only for Ordr's own product claims. Neither publishes a security attestation, shared across the category. Armis has announced a planned ServiceNow acquisition expected in the second half of 2026. Neither publishes pricing.